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Self-adaptive video space domain denoising method and device

An adaptive and spatial technology, applied in the video field, can solve the problem of video frame detail loss, and achieve the effect of avoiding detail loss and effective denoising.

Inactive Publication Date: 2016-08-31
LETV CLOUD COMPUTING CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This processing can achieve denoising effect for noisy videos, but for videos with changing noise intensity or no noise, the details in the processed video frame will be greatly lost

Method used

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  • Self-adaptive video space domain denoising method and device
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  • Self-adaptive video space domain denoising method and device

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Experimental program
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Effect test

Embodiment 1

[0027] Such as figure 1 As shown, the adaptive video denoising method of the present invention mainly includes the following steps:

[0028] Step 101: Obtain pixel values ​​of all pixels at the same position in the current frame and its adjacent previous frame respectively;

[0029] Such as figure 2 shows that the pixel in the current frame is P(i, j), and the pixel at the same position in the adjacent previous frame is P'(i, j), where i, j is the pixel in the frame The coordinates in this step are traversed and executed for all pixels in the video frame.

[0030] Step 102: Perform normalization processing on the acquired pixel value of each pixel at the same position in the current frame and its adjacent frame;

[0031] Step 103: According to the normalized pixel value of the current pixel in the current frame and the pixel value of the pixel in the adjacent previous frame at the same position as the current pixel, calculate the Describe the noise intensity of the curren...

Embodiment 2

[0035] Such as image 3 As shown, according to the pixel value of the current pixel in the current frame after normalization processing and the pixel at the same position as the current pixel in the adjacent previous frame after normalization processing The pixel value to calculate the noise intensity of the current pixel, further comprising the following steps:

[0036] Step 201: Perform normalization processing on the acquired pixel values;

[0037] Normalization is a way of simplifying calculations, that is, transforming a dimensioned expression into a dimensionless expression and becoming a scalar. In this step, the obtained pixel values ​​P(i, j) are normalized so that 0≤P≤1.

[0038] The specific formula for normalization calculation is as follows:

[0039] Formula 1

[0040] In Formula 1, V(i,j) is the result of normalized calculation, P(i,j) is the pixel value of each current pixel point, 255 is the maximum value of the pixel value, and 0 is the minimum value of...

Embodiment 3

[0049] Such as Figure 5 As shown, the pixel values ​​of adjacent pixels on the upper, lower, left, and right sides of the current pixel in the current frame are obtained respectively, and according to the noise intensity, the pixel value of the current pixel, and the upper, lower, left, and right sides The pixel value of the adjacent pixel point performs adaptive spatial denoising on the current pixel point, further comprising the following steps:

[0050] Step 301: Obtain pixel values ​​of adjacent pixel points on the four sides of the current pixel point in the current frame respectively.

[0051] Such as Figure 6 As shown, the pixel value of the current pixel is P(i,j), the pixel value of the adjacent pixel on the left is P(i-1,j), and the pixel value of the adjacent pixel on the right is P (i+1,j), the pixel value of the adjacent pixel on the upper side is P(i,j-1), and the pixel value of the adjacent pixel on the lower side is P(i,j+1).

[0052] Step 302: According t...

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Abstract

The embodiment of the invention provides a self-adaptive video space domain denoising method. The pixel values of all the pixel points of the same position of the current frame and the previous adjacent frame are acquired so that noise intensity of the current pixel point is calculated; the pixel values of the adjacent pixel points of the upper, lower, left and right sides of the current pixel point of the current frame are respectively acquired; the denoising weight of the current pixel point and the adjacent pixel points of the upper, lower, left and right sides is calculated according to the denoising intensity, the pixel value of the current pixel point and the pixel values of the adjacent pixel points of the upper, lower, left and right sides; and a value obtained through weighted averaging is utilized to replace the pixel value of the current pixel point so that self-adaptive space domain denoising of the current pixel point is realized. Denoising is performed and the frame details are retained to the largest extent.

Description

technical field [0001] Embodiments of the present invention relate to the field of video technologies, and in particular, to a method and device for an adaptive video spatial domain denoising method. Background technique [0002] With the rapid development of digital video applications, in the digital video system, various noises will inevitably be introduced in the process of video acquisition, transmission, encoding, decoding, etc. The existence of noise not only seriously affects the subjective visual quality of video, but also affects Subsequent processing of the video, such as encoding, transcoding, etc. Therefore, with the wide application of digital video, there is an urgent need for efficient video denoising methods. [0003] Video denoising methods can basically be divided into time domain denoising, spatial domain denoising and time domain plus spatial domain denoising and other types. Most of the current denoising methods need to pre-set the denoising intensity,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/21
CPCH04N5/911
Inventor 刘阳魏伟白茂生蔡砚刚李兴玉
Owner LETV CLOUD COMPUTING CO LTD